Mais conteúdo relacionado Semelhante a R Intro Workshop (20) Mais de Saad Chahine (16) R Intro Workshop 2. What is R?
“R is a language and environment for statistical computing and
graphics… similar to the S language and environment which was
developed at Bell Laboratories… by John Chambers and colleagues…”
“R is available as Free Software under the terms of the Free Software
Foundation's GNU General Public Licenses in source code form. It
compiles and runs on a wide variety of UNIX platforms and similar
systems (including FreeBSD and Linux), Windows and MacOS.”
http://www.r-project.org/
8. Help Example
Try: help(ave)
Try: help(mean)
Try: help(mode)
Try: help(median)
Try: help(sd)
Try: help(t.test)
Try: help(anova)
Try: example(ave)
Try: example(mean)
Try: example(mode)
Try: example(median)
Try: example(sd)
Try: example(t.test)
Try: example(anova)
9. Vectors
Try: c(3,5,7)
Try: c(‘s’,’a’,’a’,’d’)
Try: 3:7
Try: seq(3,7)
Try: seq(3,7,0.25)
Try: 7:3
Try: name <-c(‘s’,’a’,’a’,’d’)’
Try: name [3]
Try: name [3] <- ‘d’
Try: name [4] <- ‘e’
Try: name
10. Vectors Names
Try: ranks <- 1:3
Try: names (ranks) <- c(“1st”,”2nd”,”3rd”, )
Try: ranks
Try: ranks [first]
Try: ranks [3] <-4
Try: scoRes <- c(450,578,502)
Try: barplot(scoRes)
Try: names(scoRes) <- c(“Bob”, “Marry”, “Jane”)
Try: barplot (1:200)
13. Matrix
Try: MATD <-matrix(1:6,2)
Try: MATE <-matrix(c(rep(1,3), rep(2,3)), 2, byrow=T)
Try: MATE+MATD
Try: MATD+10
Try: MATD-10
Try: MATD+10
Try: MATD
Try: MATE-MATE
Try: MATD-MATE
Try: solve(MATD[,2:3])
Try: t(MATE)
Try: MATD %*% t(MATE)
Try: MATD*100
Try: MATD/MATE
14. Factors
Try: data = c(1,2,2,3,1,3,2,2,3,3,3,2,2,1,2)
Try: fdata=factor(data)
Try: fdata
Try: mean(data)
15. Import Data CSV
1. Find the file path
2. mydata <-read.table(”filepath”,
header=T, sep=“,”)
3. mydata <-read.table(”filepath”,
header=T, sep=“t”)
4. For fixed width use read.fwf
16. Import Data SPSS
1. Install.packages(“me
misc”)
2. library(“memisc”)
3. mydata <-
as.data.set(spss.syst
em.file('/CSSE R
Workshop/GEDU6100
dataset.sav'))
4. mydata
20. Ways of calling your data
- Mean (mydata$MATH)
- With(mydata,
mean(MATH))
- t.test(MATH~GENDER,
data=mydata)
23. On your own
Try: data()
- Find a data set
and str,
summary & one
statistical
application
25. Try this last one…
Try: contour(volcano)
Try: persp(volcano, expand=0.2)